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Optimisation of Mobile Broadband Multi-Service Systems Based in Economics Aspects

机译:基于经济学的移动宽带多业务系统优化

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摘要

Multi-service traffic engineering has a strong impact in Mobile Broadband Systems (MBS) revenues, allowing one to obtain merit functions for optimisation purposes, a key aspect in cellular planning. A net cost model is presented for the design trade-offs between re-use pattern, K, coverage distance, R, and spectral efficiency, S_(ef)(R). It allows for the determination of the revenue per basic channel, R_(384), that achieves a given value for the annual profit per kilometre. Fast terminal mobility has an important impact in handover failure probability, hence, in system capacity. While in the business city centre and other urban scenarios mobility has no significant effect, it strongly affects the supported traffic in main roads. Comparing the urban with the roads scenarios, a reduction up to 54% may come as a consequence, from (S_(ef))_(TOT) = 32.2 to 15.2%, for R = 100 m and K = 2; R_(384) has to be 0.005 and 0.045 EUD/min, respectively, i.e., the prices in the roads scenario have to be around one order of magnitude higher than in the urban one. As time goes by, and the use of MBS evolves, the operator will be able to choose different cell coverage distances, in order to support a different number of users, whilst maximising profit. In a medium term scenario, while the number of foreseen users is less than 70% of the number of users in the mature phase, cells with R = 200 m will be used.
机译:多业务流量工程对移动宽带系统(MBS)的收入产生了重大影响,使人们能够获得性能优化功能,这是蜂窝规划中的关键方面。针对重用模式K,覆盖距离R和频谱效率S_(ef)(R)之间的设计折衷,提出了一个净成本模型。它可以确定每个基本渠道的收入R_(384),从而为每公里年利润实现给定值。快速的终端移动性对切换失败概率,因此对系统容量具有重要影响。尽管在商业中心城市和其他城市场景中,出行不会产生重大影响,但会严重影响主要道路的交通流量。将城市与道路情景进行比较,结果可以减少多达54%,从(S_(ef))_(TOT)= 32.2到15.2%,对于R = 100 m和K = 2; R_(384)必须分别为0.005和0.045 EUD / min,即,道路场景中的价格必须比城市中的价格高一个数量级。随着时间的流逝以及MBS的使用发展,运营商将能够选择不同的小区覆盖距离,以支持不同数量的用户,同时最大程度地提高利润。在中期情况下,虽然可以预见的用户数量少于成熟阶段用户数量的70%,但将使用R = 200 m的小区。

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